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Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020
Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451123/ https://www.ncbi.nlm.nih.gov/pubmed/36071062 http://dx.doi.org/10.1038/s41597-022-01666-y |
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author | Huang, Liping Xiao, Gaoxi Chen, Hechang Niu, Xuetong Fu, Xiuju Xu, Haiyan Xu, George Ma, Stefan Ong, Janet Ng, Lee Ching |
author_facet | Huang, Liping Xiao, Gaoxi Chen, Hechang Niu, Xuetong Fu, Xiuju Xu, Haiyan Xu, George Ma, Stefan Ong, Janet Ng, Lee Ching |
author_sort | Huang, Liping |
collection | PubMed |
description | Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15 February to 9 July in 2020, covering the nationwide lockdown associated with Covid-19 during the period from 7 April to 1 June. NEA regularly updates the dengue clusters during which an infected person may be tagged to one cluster based on the most probable infection location (residential apartment or workplace address), which is further matched to fine-grained spatial units with an average coverage of about 1.35 km(2). Such dengue cluster dataset helps not only reveal the dengue transmission patterns, but also reflect the effects of lockdown on dengue spreading dynamics. The resulting data records are released in simple formats for easy access to facilitate studies on dengue epidemics. |
format | Online Article Text |
id | pubmed-9451123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94511232022-09-07 Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 Huang, Liping Xiao, Gaoxi Chen, Hechang Niu, Xuetong Fu, Xiuju Xu, Haiyan Xu, George Ma, Stefan Ong, Janet Ng, Lee Ching Sci Data Data Descriptor Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15 February to 9 July in 2020, covering the nationwide lockdown associated with Covid-19 during the period from 7 April to 1 June. NEA regularly updates the dengue clusters during which an infected person may be tagged to one cluster based on the most probable infection location (residential apartment or workplace address), which is further matched to fine-grained spatial units with an average coverage of about 1.35 km(2). Such dengue cluster dataset helps not only reveal the dengue transmission patterns, but also reflect the effects of lockdown on dengue spreading dynamics. The resulting data records are released in simple formats for easy access to facilitate studies on dengue epidemics. Nature Publishing Group UK 2022-09-07 /pmc/articles/PMC9451123/ /pubmed/36071062 http://dx.doi.org/10.1038/s41597-022-01666-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Huang, Liping Xiao, Gaoxi Chen, Hechang Niu, Xuetong Fu, Xiuju Xu, Haiyan Xu, George Ma, Stefan Ong, Janet Ng, Lee Ching Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title | Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title_full | Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title_fullStr | Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title_full_unstemmed | Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title_short | Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020 |
title_sort | geographical clusters of dengue outbreak in singapore during the covid-19 nationwide lockdown of 2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451123/ https://www.ncbi.nlm.nih.gov/pubmed/36071062 http://dx.doi.org/10.1038/s41597-022-01666-y |
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